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FLAIRS
2011

Learning Opponent Strategies through First Order Induction

9 years 4 months ago
Learning Opponent Strategies through First Order Induction
In a competitive game it is important to identify the opponent’s strategy as quickly and accurately as possible so that an effective response can be staged. In this vain, this paper summarizes our work in exploring the use of the first order inductive learning (FOIL) algorithm for learning rules which can be used to represent opponent strategies. Specifically, we use these learned rules to perform plan recognition and classify an opponent strategy as one of multiple learned strategies. Our experiments validate this novel approach in a simple realtime strategy game.
Katie Long Genter, Santiago Ontañón,
Added 28 Aug 2011
Updated 28 Aug 2011
Type Journal
Year 2011
Where FLAIRS
Authors Katie Long Genter, Santiago Ontañón, Ashwin Ram
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